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dc.contributor.authorGarcía García, Miguel
dc.contributor.authorGonzález Arrieta, María Angélica 
dc.contributor.authorRodríguez González, Sara 
dc.contributor.authorMárquez Sánchez, Sergio
dc.contributor.authorDa Silva Ramos, Carlos Fernando
dc.date.accessioned2024-04-08T07:33:53Z
dc.date.available2024-04-08T07:33:53Z
dc.date.issued2023
dc.identifier.citationGarcía García, M., González Arrieta, M. A., Rodríguez González, S., Márquez-Sánchez, S., & Da Silva Ramos, C. F. (2023). Graffiti Identification System Using Low-Cost Sensors.es_ES
dc.identifier.urihttp://hdl.handle.net/10366/157161
dc.description.abstract[EN]This article introduces the possibility of studying graffiti using a colorimeter developed with Arduino hardware technology according to the Do It Yourself (DIY) philosophy. Through the obtained Red Green Blue (RGB) data it is intended to study and compare the information extracted from each of the graffiti present on different walls. The same color can be found in different parts of a single graffiti, but also in other graffiti that could a priori be of different authorship. Nevertheless, graffiti may be related, and it may be possible to group graffiti artists and "gangs" that work together. The methodology followed for the construction of the colorimeter and its real application in a practical case are described in four case studies. The case studies describe how graffiti were identified and recognized and they provide a comparison of the collected color samples. The results show the added value of the colorimeter in the graffiti recognition process, demonstrating its usefulness on a functional level. Finally, the contributions of this research are outlined, and an analysis is carried out of the changes to be made to the proposed method in the future, for improved graffiti color identification.es_ES
dc.language.isoenges_ES
dc.rightsCC0 1.0 Universal*
dc.rights.urihttp://creativecommons.org/publicdomain/zero/1.0/*
dc.subjectColorimeteres_ES
dc.subjectCrewes_ES
dc.subjectGraffities_ES
dc.subjectImage Color Analysises_ES
dc.subjectLow-Cost Sensorses_ES
dc.subjectTages_ES
dc.titleGraffiti Identification System Using Low-Cost Sensors.es_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publishversionhttps://www.ijimai.org/journal/sites/default/files/2023-05/ip2023_05_001.pdfes_ES
dc.subject.unesco1203.17 Informáticaes_ES
dc.identifier.doi10.9781/ijimai
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.identifier.essn1989-1660
dc.journal.titleInternational Journal of Interactive Multimedia and Artificial Intelligencees_ES
dc.volume.numberIn Presses_ES
dc.issue.numberIn Presses_ES
dc.page.initial1es_ES
dc.page.final10es_ES
dc.type.hasVersioninfo:eu-repo/semantics/submittedVersiones_ES


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